WA: Weighted averaging (WA) regression and calibration

CRAN
rioja: Analysis of Quaternary Science Data

^2 + v2^2.
Function crossval also returns an object of class WA and adds the following named elements:
predicted

WA: Weighted averaging (WA) regression and calibration

GITHUB
nsj3/rioja: Analysis of Quaternary Science Data

^2 + v2^2.
Function crossval also returns an object of class WA and adds the following named elements:
predicted

WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

CRAN
WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB
tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

ampel-leipzig/ameld: Data and Model of End-Stage Liver Disease used in the AMPEL Project

GITHUB
ampel-leipzig/ameld: Data and Model of End-Stage Liver Disease used in the AMPEL Project

Package: ameld
Title: Data and Model of End-Stage Liver Disease used in the AMPEL Project
Version: 0.0.32

data-raw/ampel-eldd.R
data-raw/ampel-eldr.R

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB
semmons1/TEST-SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

wa: Weighted averaging transfer functions

CRAN
analogue: Analogue and Weighted Averaging Methods for Palaeoecology

caterpillarPlot(mod, type = "model") ## with tolerances used in WA model
## plot diagnostics for the WA model
par(mfrow = c(1,2

WA: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN
SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

wa: Extracts the weighted averages of a CCA solution

GITHUB
villardon/MultBiplotR: Multivariate Analysis Using Biplots in R

solution
Description
Extracts the weighted averages of a CCA solution

SPI.36: Sample data: Standardized Precipitation Index with 36 month...

GITHUB
zejiang-unsw/WASP_1.0.0: WAvelet System Prediction

R: Sample data: Standardized Precipitation Index with 36 month...
SPI.36R Documentation
Sample data: Standardized

WA: statistic of the Watson goodness-of-fit test for the gamma

CRAN
gofgamma: Goodness-of-Fit Tests for the Gamma Distribution

, i.e. a bootstrap procedure is implemented to perform the test, see crit.values.
Usage
WA(data, k_estimator)

wa: Extracts the weighted averages of a CCA solution

CRAN
MultBiplotR: Multivariate Analysis Using Biplots in R

of a CCA solution
Description
Extracts the weighted averages of a CCA solution

36: a constructor

RFORGE
SoilR: Models of Soil Organic Matter Decomposition

R: a constructor
BoundLinDecompOp_method__function_numeric_numericR

dbca-wa/turtleviewer: WA Turtle Data Viewer

GITHUB
dbca-wa/turtleviewer: WA Turtle Data Viewer

Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102

dbca-wa/wastdr: WA Sea Turtle Database 'WAStD' API Wrapper

GITHUB
dbca-wa/wastdr: WA Sea Turtle Database 'WAStD' API Wrapper

Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper

man/figures/README-unnamed-chunk-7-2.png

typed: type

GITHUB
JohnCoene/typed: 'Typed.js' for 'Shiny' to Animate Text

>.",
contentType = "html")
typed(c("First sentence.", "Second sentence"), typeSpeed = 2)

type: type

CRAN
bimixt: Estimates Mixture Models for Case-Control Data

R: type
typeR Documentation
type

typed: type

GITHUB
JohnCoene/typedjs: 'Typed.js' for 'Shiny' to Animate Text

>.",
contentType = "html")
typed(c("First sentence.", "Second sentence"), typeSpeed = 2)

type: Type

GITHUB
pmcharrison/hrep: Harmony Representations

R: Type
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

types: types

GITHUB
asiono/rein: Distribution Grid Reinforcement Optimization

R: types
typesR Documentation
types